FinCast

FinCast enables financial forecasting of stock prices and cryptocurrencies. For this project, we have used stock market data and cryptocurrency historical data from Yahoo Finance.

Requirement

We suggest to set up a virtual environment in the hacklytics folder by doing the following:

virtualenv --python python3 venv

To activate it, simply run

source venv/bin/activate

To run the application, you will need to run

pip install -r requirments.txt

When you have installed all the required libraries, simply run

streamlink run web_interface.py

Data

To load the data, we have the function:

import yfinance as yf
# getting latest data
def get_data(stocks, start, end):
    df = pdr.get_data_yahoo(stocks, start, end)
    return df

LSTM Network Model

The machine learning model to predict stock prices can be found in the notebook below:

./Notebook/FinCast.ipynb

The machine learning model to predict cryptocurrency prices can be found in the notebook below:

./Notebook/CryptoFinCast.ipynb

We have used long short-term memory networks to work on this project.